DEVOPS SERVICES
We build the pipelines, infrastructure code and monitoring that turn deployment from a Friday-night gamble into something your team does several times a day without thinking about it.
THE PROBLEM
Most delivery problems aren't caused by developers working too slowly. They're caused by everything around the code — manual releases, environments that drift apart, no way to see what production is doing. We fix that layer, and the team's existing output starts reaching users.
WHERE WE START
Almost every engagement begins with some combination of these. They compound — each one makes the next easier.
Get from commit to production without a human running commands. Build, test, deploy and roll back, defined once and repeatable by anyone.
Terraform for cloud resources, so environments are version-controlled, peer-reviewed and reproducible instead of hand-built.
Metrics, logs, traces and alerts wired into one place, with dashboards the on-call engineer actually trusts.
Dependency scanning, secret detection and policy checks inside the pipeline, catching issues before they ship.
CAPABILITIES
GitHub Actions, Azure DevOps or GitLab pipelines that build, test and deploy without manual steps.
Blue/green, canary and feature-flagged releases so shipping carries less risk.
Unit, integration and smoke tests wired into the pipeline as gates rather than afterthoughts.
Versioned, signed build artefacts and container registries with a clear promotion path.
Reusable, reviewed modules for the resources you provision repeatedly, with state managed safely.
Development, staging and production built from the same code with different variables.
Azure and AWS foundations with networking, identity and guardrails set up properly from the start.
Automated checks that flag when reality has diverged from what the code says.
AKS and EKS cluster design, workload migration, autoscaling and sensible resource limits.
Small, secure, reproducible images with scanning and a supply chain you can account for.
Ingress, TLS, service discovery and traffic policy that behaves predictably under load.
Self-service tooling so product teams ship without raising a ticket with infrastructure.
Prometheus, Grafana, Azure Monitor and Application Insights, instrumented to answer real questions.
Actionable alerts and runbooks, tuned to stop the noise that trains people to ignore pages.
Backup, failover and recovery objectives that have actually been tested, not just written down.
Right-sizing, reserved capacity and tagging so the cloud bill is explainable line by line.
ENGAGEMENT
From a short assessment to an embedded engineer. Start wherever the pain is sharpest.
PROCESS
We look at how code reaches production today and where it stalls — measuring lead time, failure rate and recovery time rather than guessing.
One prioritised list, ordered by payback. You see the reasoning and decide what we tackle first.
We implement in short increments against your real repositories, with your engineers reviewing as we go.
Documentation, runbooks and pairing so your team owns and extends the platform without us.
QUESTIONS
In practice: automating build and deployment pipelines, defining infrastructure as code, containerisation and Kubernetes, monitoring and alerting, security scanning in the pipeline, and cloud cost control. The aim is that shipping software becomes routine and low-risk rather than a scheduled event.
Usually yes. Being on Azure or AWS says where your servers live, not how you deliver software. If environments are hand-built, releases are manual, or nobody can say why production is slow, that's the gap DevOps work closes.
A pipeline that removes manual deployment steps often lands within the first two to four weeks and pays back immediately. Larger changes such as a Kubernetes migration or full Terraform rollout typically run one to three months depending on the estate.
Primarily Microsoft Azure and AWS, with Terraform for infrastructure as code, Kubernetes (AKS and EKS) for containers, and GitHub Actions or Azure DevOps for pipelines. We also work with Prometheus, Grafana, Azure Monitor and Application Insights.
That's the normal arrangement. We work in your repositories, raise pull requests your engineers review, and pair with your team so the practice stays after we leave. We're not interested in building something only we understand.
Managed IT looks after the technology your staff use — laptops, email, networks, support. DevOps looks after how your software gets built and released. Companies that both employ developers and have staff needing support often want both, and we deliver them together.
MORE FROM AA TECHS
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